- Mon, Nov 13, 2017 12:30 PM
Latitude: 1.37846, Longitude: 103.849
Speaker: Dr. Joon Edward Sim, Chair and Associate Professor, Department of Computer Science, DigiPen Singapore Biography: Edward obtained his first degree in Software Engineering from Imperial College, London before earning a master's in Computer Science with the Singapore-MIT Alliance program in 2002. He subsequently completed his Ph.D. in Computer Science at National University of Singapore in 2010. Edward's research interests lie in the field of Embedded Systems, especially run-time reconfigurable systems. He loves teaching, especially the low-level details of the computer architecture and how computers work in general. Brief Description of the Masterclass: Go has been traditionally a game that's difficult for Artificial Intelligence. The top professional players of International Chess has been beaten by computers consistently for the past 2 decades. This has not been the case for the game of Go. Before AlphaGo came unto the scene, the top computer Go programs can at most match the top amateur players but not the professional players. Since then AlphaGo, which is invented by Google, has gone on to beat Go world champions such as Lee Sedol(in 2016) and Ke Jie(in 2017). In this talk, we introduce and examine a searching technique used by AlphaGo – the Monte Carlo Tree Search, which is a key technique that contributed to advance in Artificial Intelligence Games during the first decade of the new millennium.